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Openldap scalability issues
I'm looking for some configuration advice to make openldap scale better for databases that hold millions of records.
In the past we have been loading most of our large databases from ldif with slapadd. We have been successful in loading databases with 10 to 15 million entries. The largest ones usually take a day or two - but we can deal with that. However, now I am trying to load a large database programmatically, from a java application.
If I start with a blank, clean database - here is the behavior I see.
The first ~200,000 entries or so (times about 5 attributes per entry) take about 2 minutes per 10,000 entries.
Then it starts getting slower. By the time I get to entry 300,000 - it is taking ~45 minutes per 10,000 entries.
Then it starts jumping around - sometimes taking a 1/2 hour per 10,000 sometimes 3 hours per 10,000.
Finally, usually somewhere around 600,000 concepts, it just kicks the client out with some odd error message - it changes from run to run. The most recent example was:
javax.naming.NamingException: [LDAP: error code 80 - entry store failed]
After this happened - I could no longer connect to the ldap server with any client - the server actually crashed when I tried to connect to it. But then when I restart the server, it seems to run fine, at least for browsing. I currently don't have the ability to resume my inserts - so I haven't been able to tell if the insert speed would be good again after a restart, or if it would stay as slow as it was at the end.
The database size was only 3.6 GB when it failed - I have loaded 16 GB databases with slapadd before. Why does this work in slapadd - but not when it is done with slapd?
set_cachesize 1 0 1
Useful? bits from the conf file:
checkpoint 512 30
index objectClass eq
index conceptCode eq
index language pres,eq
index dc eq
index sourceConcept,targetConcept,association,presentationId eq
index text,entityDescription pres,eq,sub,subany
You can see the schema here if you desire: http://informatics.mayo.edu/index.php?page=102